Overview

Dataset statistics

Number of variables21
Number of observations70000
Missing cells0
Missing cells (%)0.0%
Duplicate rows54
Duplicate rows (%)0.1%
Total size in memory11.2 MiB
Average record size in memory168.0 B

Variable types

Numeric21

Alerts

Dataset has 54 (0.1%) duplicate rowsDuplicates
label is highly overall correlated with pixel180 and 3 other fieldsHigh correlation
pixel547 is highly overall correlated with pixel603 and 7 other fieldsHigh correlation
pixel603 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel491 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel575 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel263 is highly overall correlated with pixel180 and 4 other fieldsHigh correlation
pixel407 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel435 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel687 is highly overall correlated with pixel547 and 4 other fieldsHigh correlation
pixel519 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel631 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel401 is highly overall correlated with pixel427High correlation
pixel180 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel234 is highly overall correlated with pixel263 and 4 other fieldsHigh correlation
pixel236 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel68 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel611 is highly overall correlated with pixel555 and 1 other fieldsHigh correlation
pixel96 is highly overall correlated with label and 6 other fieldsHigh correlation
pixel555 is highly overall correlated with pixel611 and 2 other fieldsHigh correlation
pixel594 is highly overall correlated with pixel611 and 1 other fieldsHigh correlation
pixel427 is highly overall correlated with pixel401 and 1 other fieldsHigh correlation
label has 7000 (10.0%) zerosZeros
pixel547 has 9455 (13.5%) zerosZeros
pixel603 has 16345 (23.4%) zerosZeros
pixel491 has 7778 (11.1%) zerosZeros
pixel575 has 12431 (17.8%) zerosZeros
pixel263 has 18305 (26.2%) zerosZeros
pixel407 has 8421 (12.0%) zerosZeros
pixel435 has 8554 (12.2%) zerosZeros
pixel687 has 27142 (38.8%) zerosZeros
pixel519 has 8548 (12.2%) zerosZeros
pixel631 has 19456 (27.8%) zerosZeros
pixel401 has 19229 (27.5%) zerosZeros
pixel180 has 21338 (30.5%) zerosZeros
pixel234 has 22203 (31.7%) zerosZeros
pixel236 has 18107 (25.9%) zerosZeros
pixel68 has 26156 (37.4%) zerosZeros
pixel611 has 31495 (45.0%) zerosZeros
pixel96 has 24773 (35.4%) zerosZeros
pixel555 has 23901 (34.1%) zerosZeros
pixel594 has 31945 (45.6%) zerosZeros
pixel427 has 27945 (39.9%) zerosZeros

Reproduction

Analysis started2023-11-04 16:45:23.545945
Analysis finished2023-11-04 16:47:36.483695
Duration2 minutes and 12.94 seconds
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

label
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros7000
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:36.647252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8723018
Coefficient of variation (CV)0.6382893
Kurtosis-1.2242442
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum315000
Variance8.2501179
MonotonicityNot monotonic
2023-11-04T16:47:36.950378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 7000
10.0%
9 7000
10.0%
6 7000
10.0%
0 7000
10.0%
3 7000
10.0%
4 7000
10.0%
5 7000
10.0%
8 7000
10.0%
7 7000
10.0%
1 7000
10.0%
ValueCountFrequency (%)
0 7000
10.0%
1 7000
10.0%
2 7000
10.0%
3 7000
10.0%
4 7000
10.0%
5 7000
10.0%
6 7000
10.0%
7 7000
10.0%
8 7000
10.0%
9 7000
10.0%
ValueCountFrequency (%)
9 7000
10.0%
8 7000
10.0%
7 7000
10.0%
6 7000
10.0%
5 7000
10.0%
4 7000
10.0%
3 7000
10.0%
2 7000
10.0%
1 7000
10.0%
0 7000
10.0%

pixel547
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.5528
Minimum0
Maximum255
Zeros9455
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:37.430658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165
median160
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.310846
Coefficient of variation (CV)0.6027767
Kurtosis-1.194903
Mean136.5528
Median Absolute Deviation (MAD)60
Skewness-0.47109463
Sum9558696
Variance6775.0754
MonotonicityNot monotonic
2023-11-04T16:47:37.962737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9455
 
13.5%
228 582
 
0.8%
222 580
 
0.8%
220 575
 
0.8%
224 573
 
0.8%
223 569
 
0.8%
226 568
 
0.8%
225 563
 
0.8%
217 560
 
0.8%
221 552
 
0.8%
Other values (246) 55423
79.2%
ValueCountFrequency (%)
0 9455
13.5%
1 175
 
0.2%
2 174
 
0.2%
3 118
 
0.2%
4 129
 
0.2%
5 97
 
0.1%
6 106
 
0.2%
7 88
 
0.1%
8 87
 
0.1%
9 83
 
0.1%
ValueCountFrequency (%)
255 384
0.5%
254 78
 
0.1%
253 62
 
0.1%
252 75
 
0.1%
251 70
 
0.1%
250 62
 
0.1%
249 84
 
0.1%
248 92
 
0.1%
247 98
 
0.1%
246 94
 
0.1%

pixel603
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.78869
Minimum0
Maximum255
Zeros16345
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:38.498519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median148
Q3207
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation89.449379
Coefficient of variation (CV)0.7168068
Kurtosis-1.4900782
Mean124.78869
Median Absolute Deviation (MAD)72
Skewness-0.27859926
Sum8735208
Variance8001.1914
MonotonicityNot monotonic
2023-11-04T16:47:38.985138image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16345
 
23.4%
230 576
 
0.8%
219 559
 
0.8%
223 544
 
0.8%
228 539
 
0.8%
222 539
 
0.8%
221 532
 
0.8%
224 527
 
0.8%
229 526
 
0.8%
226 519
 
0.7%
Other values (246) 48794
69.7%
ValueCountFrequency (%)
0 16345
23.4%
1 142
 
0.2%
2 122
 
0.2%
3 121
 
0.2%
4 79
 
0.1%
5 87
 
0.1%
6 79
 
0.1%
7 70
 
0.1%
8 72
 
0.1%
9 57
 
0.1%
ValueCountFrequency (%)
255 447
0.6%
254 99
 
0.1%
253 68
 
0.1%
252 72
 
0.1%
251 82
 
0.1%
250 73
 
0.1%
249 92
 
0.1%
248 97
 
0.1%
247 108
 
0.2%
246 136
 
0.2%

pixel491
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.0064
Minimum0
Maximum255
Zeros7778
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:39.282561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median167
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation78.597177
Coefficient of variation (CV)0.54960601
Kurtosis-0.93395814
Mean143.0064
Median Absolute Deviation (MAD)52
Skewness-0.61208599
Sum10010448
Variance6177.5163
MonotonicityNot monotonic
2023-11-04T16:47:39.593032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7778
 
11.1%
222 609
 
0.9%
221 605
 
0.9%
224 589
 
0.8%
227 584
 
0.8%
225 575
 
0.8%
218 574
 
0.8%
228 570
 
0.8%
226 567
 
0.8%
215 560
 
0.8%
Other values (246) 56989
81.4%
ValueCountFrequency (%)
0 7778
11.1%
1 263
 
0.4%
2 189
 
0.3%
3 146
 
0.2%
4 134
 
0.2%
5 104
 
0.1%
6 88
 
0.1%
7 76
 
0.1%
8 67
 
0.1%
9 56
 
0.1%
ValueCountFrequency (%)
255 433
0.6%
254 75
 
0.1%
253 68
 
0.1%
252 72
 
0.1%
251 68
 
0.1%
250 65
 
0.1%
249 89
 
0.1%
248 69
 
0.1%
247 90
 
0.1%
246 97
 
0.1%

pixel575
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.04947
Minimum0
Maximum255
Zeros12431
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:39.872496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median155
Q3208
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)160

Descriptive statistics

Standard deviation85.729654
Coefficient of variation (CV)0.6541778
Kurtosis-1.3469956
Mean131.04947
Median Absolute Deviation (MAD)65
Skewness-0.38202322
Sum9173463
Variance7349.5736
MonotonicityNot monotonic
2023-11-04T16:47:40.199981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12431
 
17.8%
219 591
 
0.8%
221 565
 
0.8%
229 548
 
0.8%
230 548
 
0.8%
220 545
 
0.8%
223 545
 
0.8%
228 545
 
0.8%
222 544
 
0.8%
218 542
 
0.8%
Other values (246) 52596
75.1%
ValueCountFrequency (%)
0 12431
17.8%
1 177
 
0.3%
2 148
 
0.2%
3 94
 
0.1%
4 97
 
0.1%
5 114
 
0.2%
6 89
 
0.1%
7 85
 
0.1%
8 73
 
0.1%
9 72
 
0.1%
ValueCountFrequency (%)
255 374
0.5%
254 83
 
0.1%
253 64
 
0.1%
252 66
 
0.1%
251 86
 
0.1%
250 77
 
0.1%
249 86
 
0.1%
248 84
 
0.1%
247 82
 
0.1%
246 118
 
0.2%

pixel263
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.23036
Minimum0
Maximum255
Zeros18305
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:40.480502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3195
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation90.82362
Coefficient of variation (CV)0.84699541
Kurtosis-1.5838494
Mean107.23036
Median Absolute Deviation (MAD)98
Skewness0.02981719
Sum7506125
Variance8248.93
MonotonicityNot monotonic
2023-11-04T16:47:40.766990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18305
26.2%
1 1916
 
2.7%
2 1002
 
1.4%
255 972
 
1.4%
3 662
 
0.9%
215 409
 
0.6%
4 396
 
0.6%
221 394
 
0.6%
220 392
 
0.6%
219 389
 
0.6%
Other values (246) 45163
64.5%
ValueCountFrequency (%)
0 18305
26.2%
1 1916
 
2.7%
2 1002
 
1.4%
3 662
 
0.9%
4 396
 
0.6%
5 299
 
0.4%
6 185
 
0.3%
7 136
 
0.2%
8 90
 
0.1%
9 75
 
0.1%
ValueCountFrequency (%)
255 972
1.4%
254 176
 
0.3%
253 101
 
0.1%
252 96
 
0.1%
251 66
 
0.1%
250 73
 
0.1%
249 81
 
0.1%
248 88
 
0.1%
247 89
 
0.1%
246 100
 
0.1%

pixel407
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.44844
Minimum0
Maximum255
Zeros8421
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:41.046886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180
median162
Q3206
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation78.785089
Coefficient of variation (CV)0.56497647
Kurtosis-0.98503881
Mean139.44844
Median Absolute Deviation (MAD)54
Skewness-0.57286203
Sum9761391
Variance6207.0902
MonotonicityNot monotonic
2023-11-04T16:47:41.363089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8421
 
12.0%
214 554
 
0.8%
227 550
 
0.8%
222 541
 
0.8%
223 538
 
0.8%
225 531
 
0.8%
228 529
 
0.8%
215 528
 
0.8%
221 526
 
0.8%
213 520
 
0.7%
Other values (246) 56762
81.1%
ValueCountFrequency (%)
0 8421
12.0%
1 474
 
0.7%
2 259
 
0.4%
3 166
 
0.2%
4 103
 
0.1%
5 82
 
0.1%
6 82
 
0.1%
7 57
 
0.1%
8 58
 
0.1%
9 62
 
0.1%
ValueCountFrequency (%)
255 402
0.6%
254 75
 
0.1%
253 56
 
0.1%
252 48
 
0.1%
251 61
 
0.1%
250 58
 
0.1%
249 49
 
0.1%
248 74
 
0.1%
247 76
 
0.1%
246 97
 
0.1%

pixel435
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.58143
Minimum0
Maximum255
Zeros8554
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:41.638026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median164
Q3207
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation78.910621
Coefficient of variation (CV)0.56131611
Kurtosis-0.96209262
Mean140.58143
Median Absolute Deviation (MAD)53
Skewness-0.59657216
Sum9840700
Variance6226.8861
MonotonicityNot monotonic
2023-11-04T16:47:41.931971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8554
 
12.2%
215 575
 
0.8%
225 562
 
0.8%
221 559
 
0.8%
218 552
 
0.8%
214 551
 
0.8%
210 547
 
0.8%
217 536
 
0.8%
205 531
 
0.8%
208 528
 
0.8%
Other values (246) 56505
80.7%
ValueCountFrequency (%)
0 8554
12.2%
1 398
 
0.6%
2 235
 
0.3%
3 149
 
0.2%
4 124
 
0.2%
5 93
 
0.1%
6 70
 
0.1%
7 48
 
0.1%
8 50
 
0.1%
9 57
 
0.1%
ValueCountFrequency (%)
255 336
0.5%
254 76
 
0.1%
253 58
 
0.1%
252 60
 
0.1%
251 41
 
0.1%
250 60
 
0.1%
249 56
 
0.1%
248 68
 
0.1%
247 85
 
0.1%
246 109
 
0.2%

pixel687
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.4891
Minimum0
Maximum255
Zeros27142
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:42.226279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88
Q3197
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.84445
Coefficient of variation (CV)0.96299439
Kurtosis-1.6535275
Mean98.4891
Median Absolute Deviation (MAD)88
Skewness0.19708007
Sum6894237
Variance8995.4698
MonotonicityNot monotonic
2023-11-04T16:47:42.523443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27142
38.8%
223 443
 
0.6%
227 435
 
0.6%
226 420
 
0.6%
222 414
 
0.6%
221 413
 
0.6%
231 412
 
0.6%
218 404
 
0.6%
224 403
 
0.6%
219 402
 
0.6%
Other values (246) 39112
55.9%
ValueCountFrequency (%)
0 27142
38.8%
1 302
 
0.4%
2 226
 
0.3%
3 195
 
0.3%
4 176
 
0.3%
5 129
 
0.2%
6 90
 
0.1%
7 60
 
0.1%
8 55
 
0.1%
9 70
 
0.1%
ValueCountFrequency (%)
255 392
0.6%
254 100
 
0.1%
253 75
 
0.1%
252 86
 
0.1%
251 65
 
0.1%
250 88
 
0.1%
249 90
 
0.1%
248 81
 
0.1%
247 105
 
0.1%
246 122
 
0.2%

pixel519
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.72037
Minimum0
Maximum255
Zeros8548
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:42.799927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median163
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation80.406779
Coefficient of variation (CV)0.57548358
Kurtosis-1.0702635
Mean139.72037
Median Absolute Deviation (MAD)56
Skewness-0.54254509
Sum9780426
Variance6465.2501
MonotonicityNot monotonic
2023-11-04T16:47:43.098892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8548
 
12.2%
224 599
 
0.9%
223 594
 
0.8%
217 582
 
0.8%
228 581
 
0.8%
227 570
 
0.8%
216 564
 
0.8%
218 563
 
0.8%
221 562
 
0.8%
219 562
 
0.8%
Other values (246) 56275
80.4%
ValueCountFrequency (%)
0 8548
12.2%
1 242
 
0.3%
2 164
 
0.2%
3 152
 
0.2%
4 131
 
0.2%
5 117
 
0.2%
6 105
 
0.1%
7 74
 
0.1%
8 87
 
0.1%
9 74
 
0.1%
ValueCountFrequency (%)
255 379
0.5%
254 79
 
0.1%
253 67
 
0.1%
252 50
 
0.1%
251 65
 
0.1%
250 66
 
0.1%
249 81
 
0.1%
248 74
 
0.1%
247 97
 
0.1%
246 99
 
0.1%

pixel631
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.02011
Minimum0
Maximum255
Zeros19456
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:43.395082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3205
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation91.766727
Coefficient of variation (CV)0.78419619
Kurtosis-1.5967241
Mean117.02011
Median Absolute Deviation (MAD)84
Skewness-0.13966484
Sum8191408
Variance8421.1322
MonotonicityNot monotonic
2023-11-04T16:47:43.685414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19456
27.8%
230 521
 
0.7%
219 513
 
0.7%
226 507
 
0.7%
224 504
 
0.7%
221 503
 
0.7%
222 502
 
0.7%
225 495
 
0.7%
220 487
 
0.7%
218 486
 
0.7%
Other values (246) 46026
65.8%
ValueCountFrequency (%)
0 19456
27.8%
1 159
 
0.2%
2 141
 
0.2%
3 138
 
0.2%
4 125
 
0.2%
5 107
 
0.2%
6 84
 
0.1%
7 70
 
0.1%
8 59
 
0.1%
9 73
 
0.1%
ValueCountFrequency (%)
255 433
0.6%
254 95
 
0.1%
253 75
 
0.1%
252 63
 
0.1%
251 79
 
0.1%
250 99
 
0.1%
249 91
 
0.1%
248 101
 
0.1%
247 99
 
0.1%
246 115
 
0.2%

pixel401
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.67044
Minimum0
Maximum255
Zeros19229
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:43.969539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3190
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation89.727692
Coefficient of variation (CV)0.85724001
Kurtosis-1.5360301
Mean104.67044
Median Absolute Deviation (MAD)99
Skewness0.099164065
Sum7326931
Variance8051.0587
MonotonicityNot monotonic
2023-11-04T16:47:44.267286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19229
27.5%
1 979
 
1.4%
255 841
 
1.2%
2 614
 
0.9%
3 418
 
0.6%
209 337
 
0.5%
228 332
 
0.5%
217 330
 
0.5%
215 324
 
0.5%
206 322
 
0.5%
Other values (246) 46274
66.1%
ValueCountFrequency (%)
0 19229
27.5%
1 979
 
1.4%
2 614
 
0.9%
3 418
 
0.6%
4 291
 
0.4%
5 207
 
0.3%
6 152
 
0.2%
7 132
 
0.2%
8 110
 
0.2%
9 100
 
0.1%
ValueCountFrequency (%)
255 841
1.2%
254 150
 
0.2%
253 144
 
0.2%
252 109
 
0.2%
251 116
 
0.2%
250 121
 
0.2%
249 130
 
0.2%
248 131
 
0.2%
247 159
 
0.2%
246 163
 
0.2%

pixel180
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.1234
Minimum0
Maximum255
Zeros21338
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:44.553436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3193
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation90.241742
Coefficient of variation (CV)0.86668071
Kurtosis-1.6047433
Mean104.1234
Median Absolute Deviation (MAD)102
Skewness0.06146127
Sum7288638
Variance8143.572
MonotonicityNot monotonic
2023-11-04T16:47:44.840518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21338
30.5%
1 842
 
1.2%
220 462
 
0.7%
2 453
 
0.6%
223 452
 
0.6%
221 448
 
0.6%
224 448
 
0.6%
216 438
 
0.6%
222 406
 
0.6%
219 404
 
0.6%
Other values (246) 44309
63.3%
ValueCountFrequency (%)
0 21338
30.5%
1 842
 
1.2%
2 453
 
0.6%
3 337
 
0.5%
4 251
 
0.4%
5 189
 
0.3%
6 140
 
0.2%
7 78
 
0.1%
8 72
 
0.1%
9 63
 
0.1%
ValueCountFrequency (%)
255 341
0.5%
254 61
 
0.1%
253 69
 
0.1%
252 40
 
0.1%
251 44
 
0.1%
250 49
 
0.1%
249 61
 
0.1%
248 59
 
0.1%
247 62
 
0.1%
246 79
 
0.1%

pixel234
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.791086
Minimum0
Maximum255
Zeros22203
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:45.271696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3186
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation90.38956
Coefficient of variation (CV)0.93386245
Kurtosis-1.5615392
Mean96.791086
Median Absolute Deviation (MAD)92
Skewness0.20363946
Sum6775376
Variance8170.2726
MonotonicityNot monotonic
2023-11-04T16:47:45.584647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22203
31.7%
1 2213
 
3.2%
2 879
 
1.3%
255 645
 
0.9%
3 438
 
0.6%
222 368
 
0.5%
220 351
 
0.5%
217 348
 
0.5%
219 344
 
0.5%
221 335
 
0.5%
Other values (246) 41876
59.8%
ValueCountFrequency (%)
0 22203
31.7%
1 2213
 
3.2%
2 879
 
1.3%
3 438
 
0.6%
4 273
 
0.4%
5 217
 
0.3%
6 156
 
0.2%
7 104
 
0.1%
8 94
 
0.1%
9 86
 
0.1%
ValueCountFrequency (%)
255 645
0.9%
254 115
 
0.2%
253 97
 
0.1%
252 54
 
0.1%
251 57
 
0.1%
250 62
 
0.1%
249 66
 
0.1%
248 66
 
0.1%
247 82
 
0.1%
246 94
 
0.1%

pixel236
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.89974
Minimum0
Maximum255
Zeros18107
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:45.865285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3194
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation89.466161
Coefficient of variation (CV)0.8291601
Kurtosis-1.5825441
Mean107.89974
Median Absolute Deviation (MAD)93
Skewness-0.006799904
Sum7552982
Variance8004.194
MonotonicityNot monotonic
2023-11-04T16:47:46.164291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18107
 
25.9%
1 1666
 
2.4%
2 952
 
1.4%
3 583
 
0.8%
255 504
 
0.7%
219 431
 
0.6%
228 420
 
0.6%
225 420
 
0.6%
221 416
 
0.6%
218 411
 
0.6%
Other values (246) 46090
65.8%
ValueCountFrequency (%)
0 18107
25.9%
1 1666
 
2.4%
2 952
 
1.4%
3 583
 
0.8%
4 363
 
0.5%
5 221
 
0.3%
6 142
 
0.2%
7 93
 
0.1%
8 68
 
0.1%
9 60
 
0.1%
ValueCountFrequency (%)
255 504
0.7%
254 94
 
0.1%
253 73
 
0.1%
252 50
 
0.1%
251 51
 
0.1%
250 59
 
0.1%
249 69
 
0.1%
248 61
 
0.1%
247 73
 
0.1%
246 52
 
0.1%

pixel68
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.35379
Minimum0
Maximum255
Zeros26156
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:46.453091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3197
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.554418
Coefficient of variation (CV)0.93291452
Kurtosis-1.6737344
Mean101.35379
Median Absolute Deviation (MAD)101
Skewness0.12798641
Sum7094765
Variance8940.538
MonotonicityNot monotonic
2023-11-04T16:47:46.748655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26156
37.4%
225 452
 
0.6%
255 443
 
0.6%
217 441
 
0.6%
224 436
 
0.6%
216 433
 
0.6%
221 431
 
0.6%
222 429
 
0.6%
223 426
 
0.6%
220 415
 
0.6%
Other values (246) 39938
57.1%
ValueCountFrequency (%)
0 26156
37.4%
1 364
 
0.5%
2 219
 
0.3%
3 184
 
0.3%
4 154
 
0.2%
5 137
 
0.2%
6 101
 
0.1%
7 74
 
0.1%
8 67
 
0.1%
9 77
 
0.1%
ValueCountFrequency (%)
255 443
0.6%
254 124
 
0.2%
253 82
 
0.1%
252 75
 
0.1%
251 86
 
0.1%
250 77
 
0.1%
249 94
 
0.1%
248 109
 
0.2%
247 104
 
0.1%
246 118
 
0.2%

pixel611
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.806843
Minimum0
Maximum255
Zeros31495
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:47.034329image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3186
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation95.424186
Coefficient of variation (CV)1.1386205
Kurtosis-1.4446085
Mean83.806843
Median Absolute Deviation (MAD)15
Skewness0.51322309
Sum5866479
Variance9105.7753
MonotonicityNot monotonic
2023-11-04T16:47:47.338473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31495
45.0%
255 1290
 
1.8%
1 828
 
1.2%
2 693
 
1.0%
3 551
 
0.8%
4 361
 
0.5%
224 313
 
0.4%
215 312
 
0.4%
221 311
 
0.4%
219 308
 
0.4%
Other values (246) 33538
47.9%
ValueCountFrequency (%)
0 31495
45.0%
1 828
 
1.2%
2 693
 
1.0%
3 551
 
0.8%
4 361
 
0.5%
5 245
 
0.4%
6 143
 
0.2%
7 129
 
0.2%
8 92
 
0.1%
9 76
 
0.1%
ValueCountFrequency (%)
255 1290
1.8%
254 227
 
0.3%
253 146
 
0.2%
252 141
 
0.2%
251 119
 
0.2%
250 136
 
0.2%
249 124
 
0.2%
248 149
 
0.2%
247 176
 
0.3%
246 170
 
0.2%

pixel96
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.15129
Minimum0
Maximum255
Zeros24773
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:47.638617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median104
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation93.138594
Coefficient of variation (CV)0.91177114
Kurtosis-1.6663151
Mean102.15129
Median Absolute Deviation (MAD)104
Skewness0.10054356
Sum7150590
Variance8674.7977
MonotonicityNot monotonic
2023-11-04T16:47:47.931111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24773
35.4%
1 499
 
0.7%
224 498
 
0.7%
225 491
 
0.7%
221 461
 
0.7%
226 459
 
0.7%
222 457
 
0.7%
217 443
 
0.6%
220 437
 
0.6%
218 437
 
0.6%
Other values (246) 41045
58.6%
ValueCountFrequency (%)
0 24773
35.4%
1 499
 
0.7%
2 296
 
0.4%
3 200
 
0.3%
4 164
 
0.2%
5 156
 
0.2%
6 100
 
0.1%
7 67
 
0.1%
8 65
 
0.1%
9 60
 
0.1%
ValueCountFrequency (%)
255 242
0.3%
254 72
 
0.1%
253 43
 
0.1%
252 41
 
0.1%
251 48
 
0.1%
250 46
 
0.1%
249 52
 
0.1%
248 59
 
0.1%
247 84
 
0.1%
246 83
 
0.1%

pixel555
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.714171
Minimum0
Maximum255
Zeros23901
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:48.226260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median81
Q3195
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation94.795737
Coefficient of variation (CV)0.97013294
Kurtosis-1.6007138
Mean97.714171
Median Absolute Deviation (MAD)81
Skewness0.25190146
Sum6839992
Variance8986.2317
MonotonicityNot monotonic
2023-11-04T16:47:48.531246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23901
34.1%
255 1249
 
1.8%
1 986
 
1.4%
2 728
 
1.0%
3 636
 
0.9%
4 408
 
0.6%
215 361
 
0.5%
220 351
 
0.5%
216 351
 
0.5%
226 347
 
0.5%
Other values (246) 40682
58.1%
ValueCountFrequency (%)
0 23901
34.1%
1 986
 
1.4%
2 728
 
1.0%
3 636
 
0.9%
4 408
 
0.6%
5 259
 
0.4%
6 178
 
0.3%
7 128
 
0.2%
8 94
 
0.1%
9 104
 
0.1%
ValueCountFrequency (%)
255 1249
1.8%
254 232
 
0.3%
253 158
 
0.2%
252 133
 
0.2%
251 137
 
0.2%
250 151
 
0.2%
249 139
 
0.2%
248 128
 
0.2%
247 179
 
0.3%
246 156
 
0.2%

pixel594
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.577786
Minimum0
Maximum255
Zeros31945
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:48.803669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3172
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation92.173672
Coefficient of variation (CV)1.1881452
Kurtosis-1.2822467
Mean77.577786
Median Absolute Deviation (MAD)4
Skewness0.62542979
Sum5430445
Variance8495.9857
MonotonicityNot monotonic
2023-11-04T16:47:49.269097image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31945
45.6%
1 1075
 
1.5%
255 958
 
1.4%
2 887
 
1.3%
3 654
 
0.9%
4 465
 
0.7%
226 271
 
0.4%
196 270
 
0.4%
223 268
 
0.4%
5 268
 
0.4%
Other values (246) 32939
47.1%
ValueCountFrequency (%)
0 31945
45.6%
1 1075
 
1.5%
2 887
 
1.3%
3 654
 
0.9%
4 465
 
0.7%
5 268
 
0.4%
6 151
 
0.2%
7 122
 
0.2%
8 94
 
0.1%
9 65
 
0.1%
ValueCountFrequency (%)
255 958
1.4%
254 163
 
0.2%
253 112
 
0.2%
252 121
 
0.2%
251 89
 
0.1%
250 110
 
0.2%
249 127
 
0.2%
248 136
 
0.2%
247 116
 
0.2%
246 129
 
0.2%

pixel427
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.826214
Minimum0
Maximum255
Zeros27945
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size547.0 KiB
2023-11-04T16:47:49.761765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median52
Q3183
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation93.228909
Coefficient of variation (CV)1.0615157
Kurtosis-1.4903585
Mean87.826214
Median Absolute Deviation (MAD)52
Skewness0.40907788
Sum6147835
Variance8691.6294
MonotonicityNot monotonic
2023-11-04T16:47:50.319072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27945
39.9%
1 1275
 
1.8%
255 1095
 
1.6%
2 878
 
1.3%
3 596
 
0.9%
4 376
 
0.5%
223 301
 
0.4%
214 299
 
0.4%
215 299
 
0.4%
213 298
 
0.4%
Other values (246) 36638
52.3%
ValueCountFrequency (%)
0 27945
39.9%
1 1275
 
1.8%
2 878
 
1.3%
3 596
 
0.9%
4 376
 
0.5%
5 228
 
0.3%
6 139
 
0.2%
7 120
 
0.2%
8 96
 
0.1%
9 71
 
0.1%
ValueCountFrequency (%)
255 1095
1.6%
254 185
 
0.3%
253 128
 
0.2%
252 121
 
0.2%
251 103
 
0.1%
250 104
 
0.1%
249 103
 
0.1%
248 120
 
0.2%
247 125
 
0.2%
246 135
 
0.2%

Interactions

2023-11-04T16:47:29.580394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:27.803086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:35.862626image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:40.906698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:48.949256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:54.068062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-11-04T16:46:10.691592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:17.022920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:22.087324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:28.735301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:35.192746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:40.269393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:47.219917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:53.556308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:00.442787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:05.427588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:11.715328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:16.778983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:21.973498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:29.099401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:34.391111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:35.629835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:40.670116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:48.622611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:53.814961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:45:59.531826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:05.875776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:10.929464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:17.254719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:22.323902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:29.111687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:35.428316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:40.636585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:47.520043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:46:53.794126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:00.687493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:05.667720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:11.970487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:17.024551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:22.364338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-04T16:47:29.345075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-11-04T16:47:50.790589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
label1.0000.1710.0550.2160.125-0.4960.1860.202-0.2140.193-0.039-0.032-0.560-0.460-0.518-0.6220.333-0.6220.4530.3090.191
pixel5470.1711.0000.7640.7430.8500.2330.6990.7110.5230.8430.6960.2530.2680.2520.3080.1790.4020.2060.4260.3850.194
pixel6030.0550.7641.0000.6340.8650.3310.6000.6040.6670.7150.8630.2140.3950.3420.4050.2990.4710.3290.2970.4630.119
pixel4910.2160.7430.6341.0000.7100.1610.7670.7720.4210.8220.5650.3200.1880.1770.2260.1050.2990.1310.3410.2730.277
pixel5750.1250.8500.8650.7101.0000.2870.6560.6620.5920.7660.7620.2300.3320.3040.3630.2380.4490.2670.3700.4380.154
pixel263-0.4960.2330.3310.1610.2871.0000.2020.1830.4130.1990.3680.3270.8050.7760.8260.7090.0970.739-0.0350.0960.174
pixel4070.1860.6990.6000.7670.6560.2021.0000.8640.4120.7250.5420.3310.2290.2110.2700.1430.2740.1680.3100.2520.274
pixel4350.2020.7110.6040.7720.6620.1830.8641.0000.4110.7440.5440.3250.2100.1920.2490.1260.2750.1520.3150.2520.284
pixel687-0.2140.5230.6670.4210.5920.4130.4120.4111.0000.4750.7550.2640.4980.4030.4800.4900.1860.5160.0330.1500.067
pixel5190.1930.8430.7150.8220.7660.1990.7250.7440.4751.0000.6350.2770.2290.2150.2690.1420.3660.1690.3750.3410.229
pixel631-0.0390.6960.8630.5650.7620.3680.5420.5440.7550.6351.0000.2260.4470.3710.4410.3750.3860.4060.2210.3740.102
pixel401-0.0320.2530.2140.3200.2300.3270.3310.3250.2640.2770.2261.0000.2450.4570.2700.2060.1900.2080.2400.1870.538
pixel180-0.5600.2680.3950.1880.3320.8050.2290.2100.4980.2290.4470.2451.0000.7100.8820.7870.0560.832-0.1080.0440.071
pixel234-0.4600.2520.3420.1770.3040.7760.2110.1920.4030.2150.3710.4570.7101.0000.7290.6700.1780.6800.0530.1750.246
pixel236-0.5180.3080.4050.2260.3630.8260.2700.2490.4800.2690.4410.2700.8820.7291.0000.7420.0560.778-0.0860.0500.100
pixel68-0.6220.1790.2990.1050.2380.7090.1430.1260.4900.1420.3750.2060.7870.6700.7421.0000.0120.911-0.146-0.0040.033
pixel6110.3330.4020.4710.2990.4490.0970.2740.2750.1860.3660.3860.1900.0560.1780.0560.0121.0000.0210.8180.8500.471
pixel96-0.6220.2060.3290.1310.2670.7390.1680.1520.5160.1690.4060.2080.8320.6800.7780.9110.0211.000-0.1390.0060.037
pixel5550.4530.4260.2970.3410.370-0.0350.3100.3150.0330.3750.2210.240-0.1080.053-0.086-0.1460.818-0.1391.0000.7250.577
pixel5940.3090.3850.4630.2730.4380.0960.2520.2520.1500.3410.3740.1870.0440.1750.050-0.0040.8500.0060.7251.0000.469
pixel4270.1910.1940.1190.2770.1540.1740.2740.2840.0670.2290.1020.5380.0710.2460.1000.0330.4710.0370.5770.4691.000

Missing values

2023-11-04T16:47:34.767109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-11-04T16:47:35.776514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
0220621121620520323319717720820222121721220600610129209
191632021801770111185013400101018801782090
26194195212197201214220186206204205200201180187211198214249223
3019917722720481192134233210112187162129179660124010
4321921921921921821921922021921914922134237920224009
54149155160154130154157189160155255132140158168210144218193190
642252282212262252232192282222282382102332252512152502150130
75009200200001300000000088
84209211207212207207210229210212204207210208210177184154183208
98176224183212012113622019422119250014510000221
labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
69990770013027568280008000000098070
6999192032272072210185207021200000018802372244
699924197198207197194194195199195199221184192182037125205
69993821423021220720621221202121932144320720602200214229212
69994039114127137142951342036145137100706670046000
69995013012959173183207160881111131951831791461030116000
699966576555573444429955126364713476738970704960
6999781972011952001241681872031972061851500194022621221224206
699988205219205215200204205180211226232200199182162210192201166205
699991204101185209216189189019226200209200209208235217241156223

Duplicate rows

Most frequently occurring

labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427# duplicates
00698071716774718671804571537115402010022
10117115118117961051081241181116396621241940600002
2019321419520719819619319520521422319520420021202140002
30202201199202201197197209199206020720619721902180002
410000590000001010127960920002
5197116108118171117115150941440169017816301690002
6115115614215324814014117814716401986720318402070002
71152182179165239206196191165183021916923119001970002
811541591251581611441441741331680126987413801650002
911711891421821941401372051561970195019917901980002